Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "145" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 50 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 48 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459865 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.624774 | 1.235267 | 19.828902 | 16.760337 | -0.274060 | 27.841576 | 3.710749 | 2.733722 | 0.7320 | 0.6980 | 0.3664 | nan | nan |
| 2459864 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.503634 | 2.347678 | 23.316980 | 5.545129 | 3.824460 | 15.977444 | -4.799643 | 4.185467 | 0.7126 | 0.6786 | 0.4014 | nan | nan |
| 2459863 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.957114 | 0.308628 | 3.808848 | 1.175759 | 0.298092 | 20.194279 | -3.179623 | 2.385544 | 0.7099 | 0.6786 | 0.3927 | nan | nan |
| 2459862 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 5.693468 | 0.763715 | 28.036900 | 1.542576 | 6.171039 | 14.614578 | -1.643091 | 0.127474 | 0.0620 | 0.0600 | 0.0111 | nan | nan |
| 2459861 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 2.692752 | -0.193782 | 2.426712 | 1.028843 | -0.742770 | 14.296566 | -3.284089 | 2.527686 | 0.0617 | 0.0596 | 0.0114 | nan | nan |
| 2459860 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.869032 | 0.157684 | 21.043202 | 2.175401 | 6.979349 | 17.075770 | -2.204750 | 0.396069 | 0.7253 | 0.6901 | 0.3989 | nan | nan |
| 2459859 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.655465 | -0.264339 | 2.559757 | 0.632851 | -0.311848 | 10.227307 | -2.427630 | -0.197247 | 0.7288 | 0.6988 | 0.3922 | nan | nan |
| 2459858 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 10.539761 | 12.063600 | 9.264320 | 10.032058 | 2.350958 | 2.993512 | 2.092090 | 3.714580 | 0.0344 | 0.0277 | 0.0042 | 1.219724 | 1.216986 |
| 2459857 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 6.107126 | 6.071319 | 1.639998 | 1.664279 | 0.708562 | 2.167885 | 6.089194 | 10.288762 | 0.0243 | 0.0237 | 0.0005 | nan | nan |
| 2459856 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 15.717493 | 18.435981 | 23.391618 | 24.703677 | 6.754173 | 12.379639 | 2.752020 | 5.159782 | 0.0355 | 0.0295 | 0.0038 | 1.245077 | 1.229050 |
| 2459855 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 16.513840 | 18.131662 | 24.447338 | 25.574905 | 2.694104 | 4.308249 | 1.200057 | 2.022831 | 0.0349 | 0.0276 | 0.0049 | 1.253692 | 1.254401 |
| 2459854 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 16.527247 | 16.539790 | 18.729190 | 19.518094 | 3.820704 | 4.254613 | 3.666695 | 5.547847 | 0.0357 | 0.0276 | 0.0050 | 1.311821 | 1.310610 |
| 2459853 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 13.797400 | 16.141653 | 25.440133 | 27.072548 | 7.129205 | 11.101348 | 3.615199 | 5.600732 | 0.0370 | 0.0281 | 0.0058 | 1.272970 | 1.262842 |
| 2459852 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 13.543759 | 17.335743 | 26.246330 | 28.235116 | 15.691383 | 19.884723 | 16.796230 | 16.625922 | 0.0316 | 0.0277 | 0.0027 | 1.254643 | 1.246249 |
| 2459851 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 10.810431 | 21.412030 | 26.943668 | 30.238637 | 21.555024 | 43.568945 | 13.681489 | 22.617809 | 0.0604 | 0.0335 | 0.0179 | 0.000000 | 0.000000 |
| 2459850 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 13.173878 | 19.038820 | 23.284110 | 25.171929 | 10.331014 | 19.879524 | 6.810414 | 18.552326 | 0.0323 | 0.0262 | 0.0029 | 1.254739 | 1.248092 |
| 2459849 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 15.269858 | 17.545133 | 46.992663 | 49.779175 | 7.143886 | 13.020862 | 3.932110 | 7.943867 | 0.0332 | 0.0269 | 0.0040 | 1.306239 | 1.311177 |
| 2459848 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 13.950043 | 15.716444 | 30.190289 | 32.483180 | 14.349885 | 21.910181 | 3.021592 | 5.438007 | 0.0332 | 0.0273 | 0.0035 | 1.287024 | 1.286307 |
| 2459847 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 16.063976 | 18.236603 | 28.173262 | 30.644869 | 21.839717 | 28.289154 | 1.248805 | 2.319988 | 0.0306 | 0.0261 | 0.0029 | 1.428119 | 1.397187 |
| 2459846 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 25.598044 | 26.921482 | 34.110751 | 35.623202 | 21.700307 | 21.054441 | 4.910120 | 5.170811 | 0.0303 | 0.0262 | 0.0028 | 1.105052 | 1.102850 |
| 2459845 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 17.591885 | 20.063396 | 39.973771 | 41.970501 | 10.160841 | 16.701029 | 2.110989 | 3.212976 | 0.0392 | 0.0293 | 0.0063 | 1.288063 | 1.197049 |
| 2459844 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.943248 | 14.745030 | 7.173619 | 8.772988 | 2.387549 | 5.226332 | 9.297327 | 15.299309 | 0.0242 | 0.0235 | 0.0006 | nan | nan |
| 2459843 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 18.409762 | 20.303096 | 19.421440 | 20.735284 | 64.435477 | 71.027872 | 1.810740 | 3.783885 | 0.0359 | 0.0280 | 0.0052 | 0.000000 | 0.000000 |
| 2459842 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 10.768083 | 13.878954 | 8.973454 | 10.093885 | -0.065386 | -0.497074 | 0.897022 | 2.099702 | 0.0318 | 0.0261 | 0.0040 | 1.314942 | 1.277419 |
| 2459841 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.873199 | 15.038851 | 5.006531 | 5.982598 | 2.882556 | 9.044397 | 6.230954 | 11.919863 | 0.0243 | 0.0234 | 0.0008 | nan | nan |
| 2459840 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 138.974675 | 248.321622 | 82.641541 | 63.090882 | 834.849376 | 436.648437 | 1895.115839 | 960.565159 | 0.0174 | 0.0164 | 0.0009 | nan | nan |
| 2459839 | RF_maintenance | 100.00% | - | - | - | - | - | -0.082782 | -0.185277 | 0.692518 | 0.761510 | 2.436369 | 2.611578 | 7.314513 | 12.063041 | nan | nan | nan | nan | nan |
| 2459838 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 17.708610 | 20.188742 | 22.699934 | 24.182163 | 19.987524 | 29.936743 | 1.747508 | 3.022445 | 0.0353 | 0.0347 | -0.0008 | 1.668073 | 1.614956 |
| 2459836 | RF_maintenance | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0359 | 0.0367 | 0.0014 | nan | nan |
| 2459835 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 2.236223 | 2.540156 | 2.417118 | 2.871184 | 0.005665 | 1.013407 | 0.453573 | 1.422648 | 0.0368 | 0.0391 | 0.0014 | nan | nan |
| 2459833 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 5.281541 | 5.548642 | 3.569437 | 3.883585 | 3.470413 | 3.949889 | 8.665463 | 15.031987 | 0.0304 | 0.0280 | 0.0014 | nan | nan |
| 2459832 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 32.719707 | 36.051376 | 25.373934 | 26.502639 | 14.000491 | 11.681720 | 2.629450 | 3.708079 | 0.0338 | 0.0334 | -0.0001 | 1.415884 | 1.393583 |
| 2459831 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.430564 | -0.075764 | 0.482342 | 0.707301 | 1.221098 | 1.594579 | 5.098963 | 9.330118 | 0.0302 | 0.0269 | 0.0022 | nan | nan |
| 2459830 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 33.108987 | 35.195940 | 36.142477 | 37.661930 | 39.959586 | 36.055827 | 5.803271 | 7.890274 | 0.0327 | 0.0336 | -0.0003 | 1.465677 | 1.455725 |
| 2459829 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 29.973045 | 33.880626 | 29.486145 | 30.728641 | 28.960016 | 32.126804 | 7.732048 | 10.585756 | 0.0354 | 0.0360 | -0.0002 | 0.000000 | 0.000000 |
| 2459828 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 26.812805 | 28.551124 | 31.736176 | 32.793893 | 36.741558 | 33.282099 | 12.320504 | 15.776048 | 0.0352 | 0.0361 | -0.0002 | 0.000000 | 0.000000 |
| 2459827 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 23.787587 | 26.357786 | 35.830248 | 37.477815 | 24.717795 | 26.295294 | 1.205963 | 2.058728 | 0.0328 | 0.0329 | -0.0005 | 0.000000 | 0.000000 |
| 2459826 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 25.104239 | 26.268427 | 40.098552 | 41.295345 | 49.069550 | 45.268313 | 8.031363 | 9.568767 | 0.0347 | 0.0358 | -0.0005 | 0.000000 | 0.000000 |
| 2459825 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 27.909271 | 28.688939 | 32.099714 | 33.120493 | 30.887450 | 29.005885 | 5.932486 | 6.099743 | 0.0346 | 0.0360 | -0.0002 | 0.000000 | 0.000000 |
| 2459824 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 15.999920 | 19.494547 | 25.670322 | 26.915124 | 14.132546 | 21.613482 | 7.748650 | 8.739996 | 0.0330 | 0.0336 | -0.0004 | 0.000000 | 0.000000 |
| 2459823 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 24.855238 | 24.998723 | 47.569887 | 48.813595 | 34.491916 | 35.959935 | 29.561307 | 33.568126 | 0.0320 | 0.0326 | -0.0006 | 0.000000 | 0.000000 |
| 2459822 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 25.910411 | 26.400676 | 43.597711 | 44.878161 | 30.912088 | 29.573381 | 1.211334 | 1.433994 | 0.0337 | 0.0343 | -0.0006 | 1.301422 | 1.320840 |
| 2459821 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 27.043631 | 28.462165 | 44.737825 | 45.797061 | 27.774969 | 27.513469 | 0.873715 | 1.260107 | 0.0335 | 0.0344 | -0.0007 | 0.862240 | 0.859971 |
| 2459820 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 22.852123 | 25.536558 | 35.812566 | 37.406924 | 66.725835 | 69.528261 | 4.851205 | 7.035820 | 0.0395 | 0.0391 | -0.0005 | 1.414828 | 1.439934 |
| 2459817 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 23.398527 | 24.272150 | 43.373229 | 44.360800 | 36.556973 | 36.764641 | 4.280948 | 4.647267 | 0.0364 | 0.0392 | -0.0002 | 1.551477 | 1.630526 |
| 2459816 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 18.680370 | 20.588121 | 43.558438 | 45.239475 | 46.797922 | 45.128690 | 7.736229 | 10.434667 | 0.0354 | 0.0368 | -0.0004 | 1.542492 | 1.600009 |
| 2459815 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 22.204027 | 22.718451 | 47.408158 | 48.682536 | 47.690563 | 47.853808 | 10.631553 | 14.565946 | 0.0349 | 0.0369 | -0.0003 | 1.492571 | 1.496470 |
| 2459814 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 29.710913 | 31.539008 | 29.894233 | 30.843584 | 84.071126 | 85.375811 | 8.408665 | 11.261623 | 0.0356 | 0.0382 | 0.0000 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Variability | 27.841576 | -1.624774 | 1.235267 | 19.828902 | 16.760337 | -0.274060 | 27.841576 | 3.710749 | 2.733722 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | ee Power | 23.316980 | 2.347678 | 6.503634 | 5.545129 | 23.316980 | 15.977444 | 3.824460 | 4.185467 | -4.799643 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Variability | 20.194279 | 3.957114 | 0.308628 | 3.808848 | 1.175759 | 0.298092 | 20.194279 | -3.179623 | 2.385544 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | ee Power | 28.036900 | 5.693468 | 0.763715 | 28.036900 | 1.542576 | 6.171039 | 14.614578 | -1.643091 | 0.127474 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Variability | 14.296566 | -0.193782 | 2.692752 | 1.028843 | 2.426712 | 14.296566 | -0.742770 | 2.527686 | -3.284089 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | ee Power | 21.043202 | 3.869032 | 0.157684 | 21.043202 | 2.175401 | 6.979349 | 17.075770 | -2.204750 | 0.396069 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Variability | 10.227307 | 2.655465 | -0.264339 | 2.559757 | 0.632851 | -0.311848 | 10.227307 | -2.427630 | -0.197247 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Shape | 12.063600 | 12.063600 | 10.539761 | 10.032058 | 9.264320 | 2.993512 | 2.350958 | 3.714580 | 2.092090 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Discontinuties | 10.288762 | 6.071319 | 6.107126 | 1.664279 | 1.639998 | 2.167885 | 0.708562 | 10.288762 | 6.089194 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 24.703677 | 15.717493 | 18.435981 | 23.391618 | 24.703677 | 6.754173 | 12.379639 | 2.752020 | 5.159782 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 25.574905 | 18.131662 | 16.513840 | 25.574905 | 24.447338 | 4.308249 | 2.694104 | 2.022831 | 1.200057 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 19.518094 | 16.539790 | 16.527247 | 19.518094 | 18.729190 | 4.254613 | 3.820704 | 5.547847 | 3.666695 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 27.072548 | 16.141653 | 13.797400 | 27.072548 | 25.440133 | 11.101348 | 7.129205 | 5.600732 | 3.615199 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 28.235116 | 13.543759 | 17.335743 | 26.246330 | 28.235116 | 15.691383 | 19.884723 | 16.796230 | 16.625922 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Variability | 43.568945 | 10.810431 | 21.412030 | 26.943668 | 30.238637 | 21.555024 | 43.568945 | 13.681489 | 22.617809 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 25.171929 | 13.173878 | 19.038820 | 23.284110 | 25.171929 | 10.331014 | 19.879524 | 6.810414 | 18.552326 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 49.779175 | 15.269858 | 17.545133 | 46.992663 | 49.779175 | 7.143886 | 13.020862 | 3.932110 | 7.943867 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 32.483180 | 15.716444 | 13.950043 | 32.483180 | 30.190289 | 21.910181 | 14.349885 | 5.438007 | 3.021592 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 30.644869 | 18.236603 | 16.063976 | 30.644869 | 28.173262 | 28.289154 | 21.839717 | 2.319988 | 1.248805 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 35.623202 | 25.598044 | 26.921482 | 34.110751 | 35.623202 | 21.700307 | 21.054441 | 4.910120 | 5.170811 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 41.970501 | 20.063396 | 17.591885 | 41.970501 | 39.973771 | 16.701029 | 10.160841 | 3.212976 | 2.110989 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Discontinuties | 15.299309 | 12.943248 | 14.745030 | 7.173619 | 8.772988 | 2.387549 | 5.226332 | 9.297327 | 15.299309 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Variability | 71.027872 | 20.303096 | 18.409762 | 20.735284 | 19.421440 | 71.027872 | 64.435477 | 3.783885 | 1.810740 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Shape | 13.878954 | 10.768083 | 13.878954 | 8.973454 | 10.093885 | -0.065386 | -0.497074 | 0.897022 | 2.099702 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Shape | 15.038851 | 12.873199 | 15.038851 | 5.006531 | 5.982598 | 2.882556 | 9.044397 | 6.230954 | 11.919863 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | ee Temporal Discontinuties | 1895.115839 | 138.974675 | 248.321622 | 82.641541 | 63.090882 | 834.849376 | 436.648437 | 1895.115839 | 960.565159 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Discontinuties | 12.063041 | -0.185277 | -0.082782 | 0.761510 | 0.692518 | 2.611578 | 2.436369 | 12.063041 | 7.314513 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Variability | 29.936743 | 20.188742 | 17.708610 | 24.182163 | 22.699934 | 29.936743 | 19.987524 | 3.022445 | 1.747508 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 2.871184 | 2.540156 | 2.236223 | 2.871184 | 2.417118 | 1.013407 | 0.005665 | 1.422648 | 0.453573 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Discontinuties | 15.031987 | 5.548642 | 5.281541 | 3.883585 | 3.569437 | 3.949889 | 3.470413 | 15.031987 | 8.665463 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Shape | 36.051376 | 32.719707 | 36.051376 | 25.373934 | 26.502639 | 14.000491 | 11.681720 | 2.629450 | 3.708079 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Discontinuties | 9.330118 | -0.430564 | -0.075764 | 0.482342 | 0.707301 | 1.221098 | 1.594579 | 5.098963 | 9.330118 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | ee Temporal Variability | 39.959586 | 33.108987 | 35.195940 | 36.142477 | 37.661930 | 39.959586 | 36.055827 | 5.803271 | 7.890274 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Shape | 33.880626 | 33.880626 | 29.973045 | 30.728641 | 29.486145 | 32.126804 | 28.960016 | 10.585756 | 7.732048 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | ee Temporal Variability | 36.741558 | 28.551124 | 26.812805 | 32.793893 | 31.736176 | 33.282099 | 36.741558 | 15.776048 | 12.320504 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 37.477815 | 23.787587 | 26.357786 | 35.830248 | 37.477815 | 24.717795 | 26.295294 | 1.205963 | 2.058728 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | ee Temporal Variability | 49.069550 | 26.268427 | 25.104239 | 41.295345 | 40.098552 | 45.268313 | 49.069550 | 9.568767 | 8.031363 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 33.120493 | 28.688939 | 27.909271 | 33.120493 | 32.099714 | 29.005885 | 30.887450 | 6.099743 | 5.932486 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 26.915124 | 15.999920 | 19.494547 | 25.670322 | 26.915124 | 14.132546 | 21.613482 | 7.748650 | 8.739996 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 48.813595 | 24.998723 | 24.855238 | 48.813595 | 47.569887 | 35.959935 | 34.491916 | 33.568126 | 29.561307 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 44.878161 | 25.910411 | 26.400676 | 43.597711 | 44.878161 | 30.912088 | 29.573381 | 1.211334 | 1.433994 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 45.797061 | 28.462165 | 27.043631 | 45.797061 | 44.737825 | 27.513469 | 27.774969 | 1.260107 | 0.873715 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Variability | 69.528261 | 22.852123 | 25.536558 | 35.812566 | 37.406924 | 66.725835 | 69.528261 | 4.851205 | 7.035820 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 44.360800 | 23.398527 | 24.272150 | 43.373229 | 44.360800 | 36.556973 | 36.764641 | 4.280948 | 4.647267 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | ee Temporal Variability | 46.797922 | 20.588121 | 18.680370 | 45.239475 | 43.558438 | 45.128690 | 46.797922 | 10.434667 | 7.736229 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Power | 48.682536 | 22.718451 | 22.204027 | 48.682536 | 47.408158 | 47.853808 | 47.690563 | 14.565946 | 10.631553 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 145 | N14 | RF_maintenance | nn Temporal Variability | 85.375811 | 31.539008 | 29.710913 | 30.843584 | 29.894233 | 85.375811 | 84.071126 | 11.261623 | 8.408665 |